CVE-2026-15135
Received Received - Intake

SQL Injection in Online Food Order System 1.0

Vulnerability report for CVE-2026-15135, including description, CVSS score, EPSS score, affected products, exploitability, helpful resources, and attack-flow context.

Publication date: 2026-07-09

Last updated on: 2026-07-09

Assigner: VulDB

Description

A security flaw has been discovered in code-projects Online Food Order System 1.0. This affects an unknown part of the file /edit_food_items.php. The manipulation of the argument update results in sql injection. It is possible to launch the attack remotely. The exploit has been released to the public and may be used for attacks.

CVSS Scores

EPSS Scores

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Meta Information

Published
2026-07-09
Last Modified
2026-07-09
Generated
2026-07-09
AI Q&A
2026-07-09
EPSS Evaluated
N/A
NVD
EUVD

Affected Vendors & Products

Currently, no data is known.

Helpful Resources

Exploitability

CWE
CWE Icon
KEV
KEV Icon
CWE ID Description
CWE-74 The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component.
CWE-89 The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.

Attack-Flow Graph

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Executive Summary

CVE-2026-15135 is a critical SQL injection vulnerability found in the Online Food Order System 1.0, specifically in the /edit_food_items.php file. The flaw occurs because the 'update' parameter is not properly validated, allowing attackers to inject malicious SQL queries directly into the system.

This vulnerability enables unauthorized access to the database, data tampering, leakage of sensitive information, and potential full system compromise without needing login credentials or authorization.

Attackers can exploit this vulnerability remotely using error-based or time-based blind SQL injection techniques.

Recommended mitigations include using prepared statements with parameter binding, strict input validation and filtering, minimizing database user permissions, and conducting regular security audits.

Impact Analysis

This vulnerability can have severe impacts including unauthorized access to your database, allowing attackers to view, modify, or delete sensitive data.

It can lead to data tampering, leakage of confidential information, and potentially full system compromise.

Since the exploit can be launched remotely without authentication, it increases the risk of widespread attacks and data breaches.

Detection Guidance

This vulnerability can be detected by testing the 'update' parameter in the /edit_food_items.php file for SQL injection flaws. Techniques such as error-based or time-based blind SQL injection can be used to confirm the presence of the vulnerability.

Common commands to detect SQL injection include sending specially crafted payloads to the vulnerable parameter and observing the response. For example, using curl or sqlmap tools to test the parameter:

  • Using sqlmap: sqlmap -u "http://target/edit_food_items.php?update=1" --batch
  • Using curl with a test payload: curl "http://target/edit_food_items.php?update=1' OR '1'='1"

These commands attempt to inject SQL code into the 'update' parameter and check if the system behaves abnormally or returns database errors, indicating vulnerability.

Mitigation Strategies

Immediate mitigation steps include:

  • Implement prepared statements with parameter binding to prevent SQL injection.
  • Apply strict input validation and filtering on the 'update' parameter to ensure only expected data is processed.
  • Minimize database user permissions to limit the impact of a potential exploit.
  • Conduct regular security audits and code reviews to identify and fix similar vulnerabilities.

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